Junfeng Yang

Kudos to Asaf Bord for an insightful talk in the Columbia DAP Lab seminar on building and deploying AI agents at a Fortune-100 insurance company. Great to see real, production-grade agent systems making impact at scale 👏

Great having Maël and Columbia PhD alum Ziyuan from Squarepoint Ventures in my Agent for Work seminar yesterday. Students learned how they assess later-stage companies. Huge thanks to Maël and Ziyuan for sharing their insights!

Amazing lecture and panel by four Columbia ’24 founders/builders — Rutvik, Dominic, Alfonso & Sid — in my Agent for Work seminar! Students left truly inspired with sharp insights on customer discovery, fundraising, and market positioning.

Great to have Eunice Kokor (our own Columbia CS alum) and Fuad Ali from Arize join my 𝗔𝗴𝗲𝗻𝘁 𝗳𝗼𝗿 𝗪𝗼𝗿𝗸 class yesterday to share their insights on AI and agent engineering

Great to welcome our very own Apoorv Agarwal, Ph.D. (co-founder & CEO of TextIQ, acquired by Relativity) & Jay Patel back to Columbia for an awesome guest lecture on customer discovery in my 𝗔𝗴𝗲𝗻𝘁 𝗳𝗼𝗿 𝗪𝗼𝗿𝗸 class! Appreciate the real-world lessons from the trenches!

Thrilled to share that I received the ACM SIGOPS Mark Weiser Award at SOSP 2025! All (read: ALL) the research it recognizes was joint with amazing students, postdocs, and collaborators — I’m just the lucky representative. Grateful to all who made it possible ♥️

Big thanks to @andiPartovi , co-founder of @veris_ai , for an insightful guest lecture in my Agent for Work class! Great discussion on agent simulation environments — how tool mocking enables realistic simulation, evaluation, and optimization of agent behavior.

Despite newer “safe” formats, Python Pickle is still everywhere—and downloads of repos using it keep rising. Our system, PickleBall, statically analyzes the library that created a model to derive a safe deserialization policy 🔒

Congrats to @wunused for a great @acm_ccs ’25 talk on our joint Columbia–Brown–Purdue–Technion–Google–Socket work securing Pickle-based ML models! 🏆 Distinguished Artifact Award!

Very grateful to @shaoxuhui for joining my 𝗔𝗴𝗲𝗻𝘁 𝗳𝗼𝗿 𝗪𝗼𝗿𝗸 class and leading such an insightful session on AI evolution, the full stack, and startup idea creation and validation. You left a lasting impression on everyone in the room!

Big thanks to JT for a passionate and engaging lecture in my 𝗔𝗴𝗲𝗻𝘁 𝗳𝗼𝗿 𝗪𝗼𝗿𝗸 class. The students really valued hearing your perspective on how tech founders should approach sales—a critical skill rarely taught but absolutely essential for building successful companies!

Incredible session w/ Cy Khormaee and Ryan Guo in my Agent for Work seminar. Amazing prod and demo on agentic email security. Super inspiring for students to hear directly from founders building at the frontier of AI on their journeys. And big congrats on the $13M seed!

thanks to Laura for the photo

Great session in my Agent for Work seminar with @lauraham150, @dan_cahana from @notablecap. Students really appreciated the market and fundraising insights you shared. Big thanks for joining us!

Thrilled to share that our paper "Towards Making Systems Forget with Machine Unlearning" has received the #TestOfTimeAward at IEEE S&P (Oakland) 2025. Congrats to @yzcao! Deeply grateful to the community for this recognition. #ieeesp2025 @IEEESSP

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Thanks @NSF @NSFSBIR for support! Feeling proud of the @NimbleDroid team! @CUSEAS @Columbia_Tech @ColumbiaCompSci twitter.com/nimbledroid/st…

Check out our new blog post on five lesser-known ways to hang your main thread ow.ly/ZLWUI #AndroidDev #perfmatters

Glad that #machineunlearning is featured in @TheAtlantic #MakeSystemsForget @CUSEAS @DSI_Columbia @ColumbiaCompSci twitter.com/AdrienneLaF/st…

@AdrienneLaF @TheAtlantic Thanks much for featuring our machine unlearning work. #MakeSystemsForget